Businesses in Nabas, Aklan

Industries

Business Distribution by Industry in Nabas, Aklan

Industry Description	Number of Establishments
Shopping	41
Restaurants	33
Education	29
Public administration	18
Churches	17
Hotels and motels	13
Grocery stores and supermarkets	12
Religion	10
Travel agencies	9
Bakeries	9
Travel and transportation	8

Nabas, Aklan Facts

Area	76.2 km²
Population	39,179
Male Population	20,203 (51.6%)
Female Population	18,976 (48.4%)
Population change (1975 to 2020)	+791.9%
Population change (2000 to 2020)	+70.5%
Median Age	21.3 years (Male: 20.7, Female: 22)
GDP per capita (PPP)	$2,836 (2022)
Neighborhoods	Caticlan, Solido, Barangay Poblacion
Local Time
Timezone	Philippine Standard Time
Lat & Lng	11.83100, 122.08700
Zip Codes	5607

Map of Nabas, Aklan

Interactive Map

Nabas, Aklan Population

Years 1975 to 2030

Data	1975	1990	2000	2015	2020	2025*	2030*
Population	4,393	13,983	22,976	37,789	39,179	42,321	45,318
Population Density	57.7 / km²	183.5 / km²	301.6 / km²	496 / km²	514.2 / km²	555.5 / km²	594.8 / km²

* Projected

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Nabas, Aklan Population change from 2000 to 2020

Increase of 70.5% from year 2000 to 2020

Location	Change since 1975	Change since 1990	Change since 2000
Nabas, Aklan	+791.9%	+180.2%	+70.5%
Philippines	—	—	—

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Nabas, Aklan Median Age

Median Age: 21.3 years

Location	Median Age	Median Age (Female)	Median Age (Male)
Nabas, Aklan	21.3 yrs	22 yrs	20.7 yrs
Philippines	23.2 yrs	23.6 yrs	22.8 yrs

Sources: CIESIN (Center for International Earth Science Information Network)

Nabas, Aklan Population Density

Population Density: 514 / km²

Location	Population	Area	Density
Nabas, Aklan	39,179	76.2 km²	514 / km²
Philippines	96.6 million	296,939.4 km²	325 / km²

Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Nabas, Aklan Historical and Projected Population

Estimated Population from 1900 to 2100

Sources:

JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
CIESIN (Center for International Earth Science Information Network)
[Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.

Area Codes

Percentage Area Codes used by businesses in Nabas, Aklan

Human Development Index (HDI)

Statistic composite index of life expectancy, education, and per capita income.

Source: [Link] Kummu, M., Taka, M. &Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4

Nabas, Aklan Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data	1990	1995	2000	2005	2010	2015	2020	2022
GDP per capita	$2,626	$2,797	$2,489	$2,738	$2,912	$2,598	$2,835	$2,836
Total GDP	$78.9M	$93.3M	$94.3M	$118.4M	$145.2M	$144.9M	$166.9M	$166.7M

Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x

Nabas, Aklan CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

Location	CO2 Emissions	CO2 Emissions Per Capita	CO2 Emissions Intensity
Nabas, Aklan	43,300 tn	1.11 tn	568.3 tons/km²
Philippines	104,920,564 tn	1.09 tn	353.3 tons/km²

Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a

Nabas, Aklan CO2 Emissions

2013 CO2 emissions (tonnes/year)	43,300 tn
2013 CO2 emissions (tonnes/year) per capita	1.11 tn
2013 CO2 emissions intensity (tonnes/km²/year)	568.3 tons/km²

Natural Hazards Risk

Relative risk out of 10

Hazard	Risk Level
Drought	Medium (7)
Flood	Medium (7)
Earthquake	High (7.7)
Cyclone	High (10)
Landslide	Medium (6)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:

Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, International Bank for Reconstruction and Development - The World Bank, and United Nations Environment Programme Global Resource Information Database Geneva - UNEP/GRID-Geneva. 2005. Global Cyclone Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4CZ353K.
Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

Date▼	Time↕	Magnitude↕	Distance↕	Depth↕	Location↕	Link
6/1/18	9:28 PM	4.4	50.4 km	34,920 m	2km S of Limon, Philippines	usgs.gov
10/8/17	12:42 PM	4.5	79.6 km	30,660 m	3km WSW of Tapas, Philippines	usgs.gov
7/13/17	11:19 PM	4.8	38 km	10,000 m	6km ENE of Santa Fe, Philippines	usgs.gov
9/30/16	9:40 PM	4.4	68.9 km	35,000 m	5km NW of Odiongan, Philippines	usgs.gov
7/24/16	4:22 AM	4.5	48.7 km	42,810 m	13km ENE of Caluya, Philippines	usgs.gov
2/17/16	6:08 PM	3.8	46.6 km	37,620 m	8km WNW of Manika, Philippines	usgs.gov
11/29/14	4:37 PM	4.5	4.1 km	30,970 m	3km N of Aquino, Philippines	usgs.gov
10/3/14	8:05 AM	5.5	55.9 km	19,450 m	7km E of San Francisco, Philippines	usgs.gov
10/8/13	3:57 AM	4.3	74 km	31,770 m	11km E of Lawa-an, Philippines	usgs.gov
8/29/11	9:30 AM	4.2	65.1 km	41,200 m	Panay, Philippines	usgs.gov

Source: U.S. Geological Survey (USGS)

Nabas, Aklan

Nabas (formerly also spelled Navas) is a municipality in the province of Aklan, Philippines. It is located east of the town of Malay and Buruanga Peninsula at the north-west tip of Panay Island. It is a coastal town bounded on the north by Sibuyan Se..

Nabas, Aklan Wikipedia Page

Malay, Aklan

Pop. 4,22317.9 km

Buena Suerte, Palawan

Pop. 00.5 km

Pandan

Pop. 34,0009.6 km

About Our Data

The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk.